期刊
APPLIED MATHEMATICAL MODELLING
卷 34, 期 10, 页码 2860-2871出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2009.12.020
关键词
Moment method; Point estimate method; Reliability; Sensitivity; Failure probability; Probability density function (PDF)
资金
- Nature Science Foundation of China [NSFC50875213]
- Program for New Century Excellent Talents in University [NCET-05-0868]
- Aviation Science Foundation [2007ZA53012]
- 863 Project [2007AA04Z401]
Based on the available methods of moments for structural system reliability assessment and point estimate methods for the first few moments of performance functions, an effective method is proposed to analyze reliability sensitivity of a structural system. The proposed method for analyzing reliability sensitivity includes two steps. Firstly, the reliability sensitivity, usually measured by partial differential of the failure probability P-f with respect to distribution parameter theta of the basic random variable is derived according to the moment based reliability assessment. The derived expression of delta P-f/delta theta is related to the derivative of the performance function moment alpha with respect to theta. Secondly, by using the integral formulation between alpha and the probability density function (PDF) of the basic random variable, delta alpha/delta theta could be derived as an expectation of a transformed performance function, and the expectation could be approximated by the point estimate methods. Through the two steps above, the reliability sensitivity can be obtained easily. The obvious advantages of the proposed method include independence of the explicit expression of the performance function, no limitations on the types of PDF of the basic random variables, wide applicability for multiple failure modes and high efficiency for low and medium dimensional problem, which are illustrated by the given examples. However, the efficiency of this method decreases as the dimension of the basic random variables increase, therefore, it is not suitable for the high dimensional problems. (C) 2009 Elsevier Inc. All rights reserved.
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